# Copyright 2024 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from abc import ABC
from typing import Optional, Tuple, Union

import torch


__all__ = ["Optimizer"]


class Optimizer(ABC):

    def __call__(
        self, base: torch.Tensor, bits: int, axis: int, group_size: Optional[int] = None
    ) -> Union[torch.Tensor, Tuple[torch.Tensor, torch.Tensor]]:
        raise NotImplementedError
